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closermethod

Social Media Manager MCP

get_posting_cadence

Retrieve recommended posting frequency and best times for TikTok, Instagram, LinkedIn, X, and YouTube to optimize content scheduling.

Instructions

Posting frequency, best windows, and the key note per platform: tiktok, instagram, linkedin, x, youtube. Omit platform for all.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNo
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description must disclose behavioral traits. It clearly states the output content (frequency, windows, key notes) but does not mention any side effects, data freshness, caching, or access requirements. The behavioral disclosure is adequate for a simple read operation but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no redundant information. It front-loads the core function and includes a clear usage instruction. Every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has a single optional parameter and no output schema, the description provides sufficient high-level information about what the tool returns (frequency, windows, key notes per platform). It lacks detailed output structure, but for a straightforward retrieval tool, this level of completeness is adequate. A more structured description of the output format could improve it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must add meaning for the single 'platform' parameter. It does so by explaining that omitting the parameter retrieves data for all platforms. However, it does not describe the enum values or validate their usage beyond listing platform names in the description. This adds some value but not full compensation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states the tool provides "Posting frequency, best windows, and the key note per platform" and lists the specific platforms (tiktok, instagram, linkedin, x, youtube). This is a clear verb+resource combination with a distinct scope, effectively differentiating it from sibling tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description includes a usage hint ("Omit platform for all") but does not explicitly state when to prefer this tool over siblings or provide exclusions. Usage is implied through context but lacks explicit guidelines for when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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